With the popularity of AI coding tools rising among some software developers, their adoption has begun to touch every aspect of the process, including the improvement of AI coding tools themselves.

In interviews with Ars Technica this week, OpenAI employees revealed the extent to which the company now relies on its own AI coding agent, Codex, to build and improve the development tool. “I think the vast majority of Codex is built by Codex, so it’s almost entirely just being used to improve itself,” said Alexander Embiricos, product lead for Codex at OpenAI, in a conversation on Tuesday.

Codex, which OpenAI launched in its modern incarnation as a research preview in May 2025, operates as a cloud-based software engineering agent that can handle tasks like writing features, fixing bugs, and proposing pull requests. The tool runs in sandboxed environments linked to a user’s code repository and can execute multiple tasks in parallel. OpenAI offers Codex through ChatGPT’s web interface, a command-line interface (CLI), and IDE extensions for VS Code, Cursor, and Windsurf.

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A Strategic Shift in Bug Bounty Security Incentives 

Industry Reaction and Expected Impact 

On Tuesday, French AI startup Mistral AI released Devstral 2, a 123 billion parameter open-weights coding model designed to work as part of an autonomous software engineering agent. The model achieves a 72.2 percent score on SWE-bench Verified, a benchmark that attempts to test whether AI systems can solve real GitHub issues, putting it among the top-performing open-weights models.

Perhaps more notably, Mistral didn’t just release an AI model, it released a new development app called Mistral Vibe. It’s a command line interface (CLI) similar to Claude Code, OpenAI Codex, and Gemini CLI that lets developers interact with the Devstral models directly in their terminal. The tool can scan file structures and Git status to maintain context across an entire project, make changes across multiple files, and execute shell commands autonomously. Mistral released the CLI under the Apache 2.0 license.

It’s always wise to take AI benchmarks with a large grain of salt, but we’ve heard from employees of the big AI companies that they pay very close attention to how well models do on SWE-bench Verified, which presents AI models with 500 real software engineering problems pulled from GitHub issues in popular Python repositories. The AI must read the issue description, navigate the codebase, and generate a working patch that passes unit tests. While some AI researchers have noted that around 90 percent of the tasks in the benchmark test relatively simple bug fixes that experienced engineers could complete in under an hour, it’s one of the few standardized ways to compare coding models.

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Open source components form the backbone of innovation, but they also introduce significant security risks.

The post Stop Open Source Malware at the Gate with Repository Firewall appeared first on Security Boulevard.

For years now, Valve has been slowly improving the capabilities of the Proton compatibility layer that lets thousands of Windows games work seamlessly on the Linux-based SteamOS. But Valve’s Windows-to-Linux compatibility layer generally only extends back to games written for Direct3D 8, the proprietary Windows graphics API Microsoft released in late 2000.

Now, a new open source project is seeking to extend Linux interoperability further back into PC gaming history. The d7vk project describes itself as “a Vulkan-based translation layer for Direct3D 7 [D3D7], which allows running 3D applications on Linux using Wine.”

More options are always welcome

The new project isn’t the first attempt to get Direct3D 7 games running on Linux. Wine‘s own built-in WineD3D compatibility layer has supported D3D7 in some form or another for at least two decades now. But the new d7vk project instead branches off the existing dxvk compatibility layer, which is already used by Valve’s Proton for SteamOS and which reportedly offers better performance than WineD3D on many games.

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Twilio acquiring Stytch signals a major shift in developer CIAM. I've analyzed 20+ platforms—from Descope to Keyclock—to show you which deliver on Auth0's promise without the lock-in. OpenID standards, AI agent auth, and what actually matters when choosing your identity platform.

The post The Twilio-Stytch Acquisition: A Watershed Moment for Developer-First CIAM appeared first on Security Boulevard.

OpenAI on Thursday launched Aardvark, an artificial intelligence (AI) agent designed to autonomously detect and help fix security vulnerabilities in software code, offering defenders a potentially valuable tool against malicious hackers. The GPT-5-powered tool, currently in private beta, represents what OpenAI calls a “defender-first model” that continuously monitors code repositories to identify vulnerabilities as software..

The post OpenAI’s Aardvark is an AI Security Agent Combating Code Vulnerabilities appeared first on Security Boulevard.